Drivers who push ten or fifteen miles per hour above the flow of traffic often notice something counterintuitive on their ...

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

Researchers have built a machine-learning model that can distinguish between Alzheimer’s disease, dementia with Lewy bodies, ...

In this shifting landscape, a new generation of AI-driven quantitative trading systems is emerging—powered by multimodal intelligence, synthetic data simulation, and causal inference. At the forefront ...

CoinDesk Research maps five crypto privacy approaches and examines which models hold up as AI improves. Full coverage of ...

Data science is everywhere, a driving force behind modern decisions. When a streaming service suggests a movie, a bank sends ...

Pa., told Nextgov/FCW that he wants to provide grant funding to figure out which risks “are the ones that we should be paying ...

Cerf’s February 2026 Communications Cerf’s Up column, “Does AI Now Represent a Paradigm Shift?” rightly characterizes modern ...

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...

People whose brain age is older than their actual chronological age by 10 years may have a 39% higher future risk of dementia ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...